llmquant-market-intelligence
Router skill for LLMQuant market-intelligence workflows. Use when the user needs macro views, market sentiment dashboards, or event probability signals.
npx skills add LLMQuant/skills --skill llmquant-market-intelligence --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LLMQuant Market Intelligence This category contains reusable market utility workflows that can support research, trading, and portfolio decisions. ## Routing Rules 1. Identify whether the user needs macro context, sentiment, or event probability evidence. 2. Select one workflow from the index. 3. Open only the selected workflow. 4. Use LLMQuant Data for all market, macro, event, options, and sentiment inputs. 5. Report dates, data windows, stale notices, and missing future data contracts. ## Workflow Index | User intent | Workflow | |---|---| | Track cross-asset macro indicators and likely portfolio impact. | [`workflows/macro-view.md`](workflows/macro-view.md) | | Build a market-wide sentiment dashboard. | [`workflows/market-sentiment.md`](workflows/market-sentiment.md) | | Compare prediction-market and options-implied event probabilities. | [`workflows/event-probability-signals.md`](workflows/event-probability-signals.md) | ## LLMQuant Data Contract Prefer LLMQuant Data when available. The workflows may need these data capabilities: - Retrieve macro snapshots, macro histories, and cross-asset market prices. - Retrieve crypto market snapshots and broader market sentiment indicat
- Routing Rules
- Workflow Index
- LLMQuant Data Contract
What does the llmquant-market-intelligence skill do?
Router skill for LLMQuant market-intelligence workflows. Use when the user needs macro views, market sentiment dashboards, or event probability signals.
How do I install it?
Run `npx skills add LLMQuant/skills --skill llmquant-market-intelligence --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LLMQuant/skills, a repository with 183 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.